scholarly journals System Reliability Assessment with Imprecise Probabilities

2019 ◽  
Vol 9 (24) ◽  
pp. 5422 ◽  
Author(s):  
Guodong Yang ◽  
Xianzhen Huang ◽  
Yuxiong Li ◽  
Pengfei Ding
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Reliability Assessment ◽  
Statistical Characteristics ◽  
Imprecise Probabilities ◽  
Limited Sample ◽  
Numerical Examples ◽  
Practical Engineering ◽  
Life Distributions ◽  
High Level

The exact statistical characteristics of some components may be unavailable because of the limited sample information in practical engineering. One challenge that system reliability analysis faces is dealing with limited sample sizes, which introduces the potential for a high level of uncertainty in the analysis results. In this paper, we propose a procedure for the reliability analysis of complex systems with a limited number of samples. Bayesian inference is used to estimate the parameter intervals of the life distributions of the components with a limited number of samples. Then, probability boxes (p-box) are constructed from the parameter intervals to represent the life distributions of the components with a limited number of samples. In addition, the theory of survival signature is applied to calculate the reliability of the system with a mixture of precise and imprecise knowledge of the life distributions of the components. Finally, two numerical examples are given to illustrate the validity of the methods.

scholarly journals Reliability Analysis of Special Vehicle Critical System Using Discrete-Time Bayesian Network

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Zong-Yuan Li ◽  
Guang-Jun Jiang ◽  
Hong-Xia Chen ◽  
Hai-Bin Li ◽  
Hong-Hua Sun
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Reliability Assessment ◽  
Fault Tree Analysis ◽  
Critical Systems ◽  
Critical System ◽  
Fault Trees ◽  
Tree Analysis ◽  
Calculation Results ◽  
Special Vehicle

The reliability assessment of special vehicles has become very important. However, due to the special structure of special vehicles, it is difficult to collect a large amount of experimental data. The use of traditional fault tree analysis cannot accurately assess product reliability. In this paper, dynamic fault trees are used to model the critical systems of special vehicles, and discrete Bayesian networks are used to evaluate the reliability of critical systems of special vehicles, which solved the problems of difficulty in accurately describing complex systems in the process of system reliability analysis and difficulty in obtaining accurate data in the process of analysis. Finally, through the combination of expert experience and the evaluation of the calculation results, the rationality of the method used in this paper in the reliability evaluation of special vehicles is verified.

Damage Equivalent Method of Fatigue Reliability Analysis of Load-Sharing Parallel System

2008 ◽  
Vol 44-46 ◽  
pp. 853-858 ◽  
Author(s):  
Guang Bo Hao ◽  
Li Yang Xie
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Load Sharing ◽  
Parallel System ◽  
Reliability Model ◽  
Fatigue Reliability ◽  
Life Distribution ◽  
Life Distributions ◽  
Equivalent Method ◽  
Full Probability

As for load-sharing parallel system like multi-engine system and wire cable, dependence-failure must occur due to load redistributing, so the component life distributions changed. After the analysis of the disadvantage of failure probability equivalent principle and the transformation of equivalent working time of different life distribution based on damage equivalent principle, the parallel system reliability model applying full probability formula is established. The established reliability model provides a new method for reliability analysis of load-sharing parallel system whose component life follows any distribution.

scholarly journals Competitive failure analysis of a stochastic degradation system based on performance characteristics fusion

2021 ◽  
Vol 39 (2) ◽  
pp. 439-447
Author(s):  
Qinglai Dong ◽  
Weiwei Wang ◽  
Shubin Si
Keyword(s):  
System Reliability ◽  
Failure Modes ◽  
Reliability Assessment ◽  
Degradation Process ◽  
Assessment Method ◽  
Performance Characteristics ◽  
Reliability Modeling ◽  
Numerical Examples ◽  
Degradation Models ◽  
Bivariate Wiener Process

With the aim of solving the reliability modeling and calculation of multivariate stochastic degradation systems, two stochastic degradation models based on the bivariate Wiener process are proposed, in which two performance characteristics are composited to one variable. Two different failure modes including the defect-based failure and the duration-based failure are considered. The explicit expressions of the system reliability are derived in the cases that the performance characteristics are not composited or the performance characteristics are composited according to the linear combination of the degradation measurements. An algorithm based on the Monte Carlo simulation is proposed to simulate the degradation process, in which the performance characteristics are composited in arbitrary forms, and the correctness of the analytical results is also verified. Finally, some numerical examples are presented to illustrate the present reliability assessment method。

Sign in / Sign up

Export Citation Format

Share Document